Beginning Salesforce DX
Refer to the practical guidance provided in this book to develop Salesforce custom applications in a more agile, collaborative, and resilient way using Salesforce Developer Experience (DX). You will learn how to use the Salesforce Command Line Interface (CLI) to simplify working with projects, metadata, data and orgs. The CLI integrates with your development tools of choice such as Visual Studio Code, and CI/CD tools to implement DevOps pipelines. Readers will also gain an understanding of the package development model, which improves application quality and maintainability by grouping metadata into highly cohesive, loosely coupled containers. Salesforce DX supports application development throughout the entire development lifecycle where a version control system, rather than a Salesforce org, is the source of truth. It became generally available in late 2017 and has now reached a stage of feature richness and stability that it is becoming more widely adopted. Beginning Salesforce DX provides development teams with practical, how-to examples of using Salesforce DX that go beyond the Salesforce documentation. Commands and their parameters are described, including any gotchas, and the outcome of the commands on a Salesforce org is explained. What You Will Learn - How to setup a Salesforce DX development environment - Understand the key Salesforce DX concepts and the Salesforce CLI - Work with Dev Hubs, projects, orgs, metadata and version control systems - Improve quality with test users and test data - Bootstrap pro-code development with templates - Apply Salesforce DX to an end-to-end package development project Who This Book Is For Internal teams developing custom Salesforce applications for an individual customer, or those creating commercial applications for distribution via the Salesforce AppExchange enterprise marketplace. All team disciplines will benefitfrom understanding and applying Salesforce DX, including pro-code, low-code and no-code developers, testers, release managers, DevOps engineers and administrators. A secondary audience includes those needing to understand key concepts when establishing or evolving an organisation's application lifecycle management capability, such as capability leaders, architects, consultants and business analysts.
Mobile Multimedia Communications
This book constitutes the thoroughly refereed post-conference proceedings of the 15th EAI International Conference on Mobile Multimedia Communications, MobiMedia 2022, held in July 22-24, 2022. Due to COVID-19 pandemic the conference was held virtually. The 29 full papers presented were carefully selected from numerous submissions. The papers are organized in topical sections as follows: Internet of Things and Wireless Communications Communication Strategy Optimization; Cyberspace Security on Cryptography, Privacy Protection, Data Sharing, Access Control and Task Prediction; Neural Networks and Feature Learning; and Object Recognition and Detection.
Application of Big Data, Blockchain, and Internet of Things for Education Informatization
The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29-31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology. The conference focuses on research fields such as "Big Data" and "Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.
Application of Big Data, Blockchain, and Internet of Things for Education Informatization
The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29-31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology. The conference focuses on research fields such as "Big Data" and "Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.
Application of Big Data, Blockchain, and Internet of Things for Education Informatization
The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29-31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology. The conference focuses on research fields such as "Big Data" and "Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.
Revealing Media Bias in News Articles
This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage. The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias. This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint.
Revealing Media Bias in News Articles
This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage. The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias. This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare
This book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2022, and the 8th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2022, which were held virtually on September 9, 2022. The proceedings include 3 full papers each from Poly 2022 and from DMAH 2022. DMAH deals with innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic - data, and data from social media and the Web.Poly is focusing on the broader real-world polystore problem, which includes data management, data integration, data curation, privacy, and security.
What is in a Name?
I. Preliminaries.- II. Theories of Logicians.- 1. Mill.- 2. Frege.- 3. Russell.- 4. Some More Recent Talk on Proper Names.- (i) Ziff.- (ii) Strawson.- (iii) Ayer.- (iv) Searle.- (v) Shawyder.- (vi) Kneale.- III. Theories of Linguists.- 1. Gardiner.- 2. S繪rensen.- 3. Syntactic Regularities: Jespersen, Chomsky, Gardiner.- IV. A Constructive Move.- 1. On Dictionary Definition.- 2. The Pragmatic Dimension.- 3. The Need for Identification.- 4. Referring Expressions.- 5. Proper Names and Definite Descriptions.- 6. Identifying - Referring and Distinguishing.- 7. The Referent.- 8. Overlapping Categories.- 9. A Use - Mention Confusion.- 10. Transformation to Common Names.- 11. The Protean Use of Proper Names.- 12. Same Person - Same Name.- 13. Name-Givers.- 14. Why Name?.- 15. Conventions.- 16. Problems of Translation.- V. Conclusion.
Service-Oriented Computing
This book constitutes the proceedings of the 20th International Conference on Service-Oriented Computing, ICSOC 2022, held in Seville, Spain, in November -December 2022.The 29 full, 15 short, and 4 vision papers included in this volume were carefully reviewed and selected from 221 submissions. They were organized in topical sections named: ​service modeling and mining; quality of service; microservices; service personalization, recommendation, and crowdsourcing; blockchain; IoT and green computing; services for cloud, edge, and fog computing; artificial intelligence and machine learning for service computing; vision papers.
Automated Software Design Volume 1, 2nd Edition Public
This upper-division undergraduate text explains major paradigms that automate software development. Presentations integrate 50+ years of results in software design, relational databases, using category theory (a simple and profound theory about structures and transformations) as a foundation. Among the paradigms covered include: Model Driven Engineering, Refactoring MDE Metamodels, Refactoring Java Programs, Design Patterns, Software Product Lines, Dataflow by Transformation, Category Theory Edition #2 is a major rewrite of Edition #1, with new material, corrections, and revisions.
Colorwise
Data has become the most powerful tool in business today, and telling its story effectively is critical. Yet one of the best communicators--color--is the most neglected tool in data visualization. With this book, DATAcated founder Kate Strachnyi provides the ultimate guide to the correct use of color for representing data in graphs, charts, tables, and infographics. Ideal for data and business analysts, data scientists, and others who design infographics and data visualizations, this practical resource explores color tips and tricks, including the theories behind them and why they work the way they do. ColorWise covers the psychology, history, and culture of many different colors. This book is also a useful teaching tool for learning about proper use of color for data storytelling techniques and dashboarding. You'll explore: The role that color theory plays in data visualization and storytelling Various color techniques you can use to improve data visualizations How colors affect your audience's understanding of data visualizations How to use color intentionally to help guide your audience Tips for using colors that people with color vision deficiency can interpret How to apply the book's guidelines for use in your own projects
Subject-Oriented Business Process Management. Dynamic Digital Design of Everything - Designing or Being Designed?
This book constitutes the refereed proceedings of the 13th International Conference onSubject-Oriented Business Process Management, S-BPM ONE 2022, held in Karlsruhe, Germany, during June 29-July 1, 2022.The 7 full papers and 4 short papers included in this book were carefully reviewed andselected from 15 submissions. They were organized in topical sections as follows: technology; application; and short papers.
Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities
This book constitutes selected revised papers of the 16th International Conference on Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities, NooJ 2022, held in Rosario, Argentina, in June 2022. Due to COVID-19 pandemic the conference was held virtually.NooJ is a linguistic development environment that provides tools for linguists to construct linguistic resources that formalize a large gamut of linguistic phenomena: typography, orthography, lexicons for simple words, multiword units and discontinuous expressions, inflectional, derivational and agglutinative morphology, local, phrase-structure and dependency grammars, as well as transformational and semantic grammars.The 17 full papers presented were carefully reviewed and selected from 50 submissions. The papers are organized in the following topics: ​ Morphological and Lexical Resources; Syntactic and Semantic Resources; Corpus Linguistics and Discourse Analysis; Natural Language Processing Applications.
Data Mining and Big Data
This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China, in November 21-24, 2022.The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Advances in Computer Graphics
This book constitutes the refereed proceedings of the 39th Computer Graphics International Conference on Advances in Computer Graphics, CGI 2022, held Virtually, during September 12-16, 2022. The 45 full papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows: image analysis & processing; graphs & networks; estimation & feature matching; 3d reconstruction; rendering & animation; detection & recognition; colors, paintings & layout; synthesis & generation; ar & user interfaces; medical imaging; segmentation; object detection; image attention & perception; and modeling & simulation.
The Recent Advances in Transdisciplinary Data Science
This book constitutes the refereed proceedings of the First Southwest Data Science Conference, on The Recent Advances in Transdisciplinary Data Science, SDSC 2022, held in Waco, TX, USA, during March 25-26, 2022.The 14 full papers and 2 short papers included in this book were carefully reviewed and selected from 72 submissions. They were organized in topical sections as follows: Business and social data science; Health and biological data science; Applied data science, artificial intelligence, and data engineering.
Ethical Practice of Statistics and Data Science
Ethical Practice of Statistics and Data Science is intended to prepare people to fully assume their responsibilities to practice statistics and data science ethically. Aimed at early career professionals, practitioners, and mentors or supervisors of practitioners, the book supports the ethical practice of statistics and data science, with an emphasis on how to earn the designation of, and recognize, "the ethical practitioner".The book features 47 case studies, each mapped to the Data Science Ethics Checklist (DSEC); Data Ethics Framework (DEFW); the American Statistical Association (ASA) Ethical Guidelines for Statistical Practice; and the Association of Computing Machinery (ACM) Code of Ethics.It is necessary reading for students enrolled in any data intensive program, including undergraduate or graduate degrees in (bio-)statistics, business/analytics, or data science. Managers, leaders, supervisors, and mentors who lead data-intensive teams in government, industry, or academia would also benefit greatly from this book.This is a companion volume to Ethical Reasoning For A Data-Centered World, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the ASA and ACM Ethical Guidelines/Code of Ethics.
Ethical Reasoning for a Data-Centered World
The American Statistical Association (ASA) and the Association of Computing Machinery (ACM) have longstanding ethical practice standards that are explicitly intended to be utilized by all who use statistical practices or computing, or both. Since statistics and computing are critical in any data-centered activity, these practice standards are essential to instruction in the uses of statistical practices or computing across disciplines.Ethical Reasoning for a Data-Centered World is aimed at any undergraduate or graduate students utilizing data. Whether the career goal is research, teaching, business, government, or a combination, this book presents a method for understanding and prioritizing ethical statistics, computing, and data science - featuring the ASA and ACM practice standards. To facilitate engagement, integration with prior learning, and authenticity, the material is organized around seven tasks: Planning/Designing; Data collection; Analysis; Interpretation; Reporting; Documenting; and Engaging in Team Work. This book is a companion volume to Ethical Practice of Statistics and Data Science, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the American Statistical Association (ASA) and Association of Computing Machinery (ACM) ethical guideline documents.
Structural, Syntactic, and Statistical Pattern Recognition
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2022, held in Montreal, QC, Canada, in August 2022.The 30 papers together with 2 invited talks presented in this volume were carefully reviewed and selected from 50 submissions. The workshops presents papers on topics such as deep learning, processing, computer vision, machine learning and pattern recognition and much more.
Transactions on Rough Sets XXIII
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XXIII in the series is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak during the first decade of the 21st century.
Ict Innovations 2022. Reshaping the Future Towards a New Normal
This book constitutes the refereed proceedings of the 14th International Conference on ICT Innovations 2022. Reshaping the Future Towards a New Normal, ICT Innovations 2022, held in Skopje, Macedonia, during September 29-October 1, 2022. The 14 full papers and 1 short papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: theoretical foundations and distributed computing; artificial intelligence and deep learning; applied artificial intelligence; education; and medical informatics.
Arithmetic of Finite Fields
This book constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop on the Arithmetic of Finite Field, WAIFI 2022, held in Chengdu, China, in August - September 2022.The 19 revised full papers and 3 invited talks presented were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections: structures in finite fields; efficient finite field arithmetic; coding theory; cryptography; sequences.
The Data Lakehouse Architecture
Learn how the data lakehouse is designed and architected to meet today's complex and ever-changing analytics, machine learning, and data science requirements.In the bestseller, "Building the Data Lakehouse", you learned about the features of the data lakehouse, along with its powerful analytical infrastructure. This book is the architectural companion to "Building the Data Lakehouse". Appreciate the strategic approaches and challenges with including structured data, text, and IoT/analog readings within the same analytical environment. Know the steps to create the data lakehouse canonical model, and the dynamic processing necessary to satisfy the most demanding business analysts and data scientists. Understand the modern cloud data storage cost-saving methodology through Data Future-proofing. Experience a new paradigm of Micro Repository in microservices architecture and advanced security to ensure your data lakehouse delivers business value for generations.
Beginning MATLAB and Simulink
Employ essential tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This revised edition covers features from the latest MATLAB 2022b release, as well as other features that have been released since the first edition published. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which will help you to learn programming and modelling essentials. You'll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems. Beginning MATLAB and Simulink, Second Edition explains various practical issues of programming and modelling in parallel by comparing MATLAB and Simulink. After studying and using this book, you'll be proficient at using MATLAB and Simulink and applying the source code and models from the book's examples as templates for your own projects in data science or engineering. What You Will LearnMaster the programming and modelling essentials of MATLAB and SimulinkCarry out data visualization with MATLABBuild a GUI and develop App with MATLABWork with integration and numerical root finding methodsApply MATLAB to differential equations-based models and simulationsUse MATLAB and Simulink for data science projects Who This Book Is ForEngineers, programmers, data scientists, and students majoring in engineering and scientific computing who are new to MATLAB and Simulink.
Problems on Algorithms
Mathematical Induction.- Growth of Functions.- Recurrence Relations.- Algorithm Analysis.- Basic Data Structure.- Hash.- Tree.- Search.- Sorting.- Divide and Conquer.- Dynamic Programming.- Greedy Algorithms.- Graph.- Backtracking Algorithms.- P, NP, NP-Complete, and NP-Hard Problems.
Relational Database And SQL
This book introduces you to the field of relational database development and usage. There are many good books in this field. This book is different. It covers the basics so that beginners can read cover to cover. It is not a book for all levels of readers. For example, this book uses Microsoft SQL Server and Transact-SQL (or T-SQL). It will not mention the different dialect of Oracle or MySQL. If you are interested in Oracle or MySQL, you should use a different book. If you learned SQL Server from this book at your institution and you need to use other DBMS in your future job, the knowledge is only one Google away. This is not a reference book. For example, there are multiple ways to use aliases in T-SQL, but we only use one way. We believe that it is pretty easy to know different ways of using aliases once you finish this book. Why introduce all the different ways of using aliases for the first timer?This book is also unique with over 100 SQL examples and exercises. Most of these examples and exercises are paired. Readers learn one SQL example and can find a corresponding SQL exercise. We believe you have to write the codes in order to show you understood this book. You won't complete this book in 24 hours or 7 days.Even though the book is simple, by the end of the book, readers will be able to apply the knowledge learned to real world projects. We include one project with the detailed process of developing the database and the SQL examples of using the database. This book also includes three case studies readers can practice. This book uses a custom database which is simple with very limited data. The advantage of this approach is that you can manually find the solution before you write the SQL statement (Appendix 2 provides all data of the database). For example, if the question asks for the highest priced deliveries product, you can manually go to Appendix 2 of the book and find the product before you write the SQL statement.Please use Amazon's preview to take a look of the book before purchasing.The third edition includes 343 review questions. We are grateful to Dr. Youlong Zhuang for reviewing this edition.
Data and Information in Online Environments
This book constitutes the refereed post-conference proceedings of the Third EAI International Conference on Data and Information in Online Environments, DIONE 2022, held as virtual event, in July 28-29, 2022. Due to COVID-19 pandemic the conference was held virtually.DIONE 2022 aims to bring together academicians and practitioners willing to discuss topics around the intersection of Computer Science, Information Science, and Communication Science. The attractiveness of the scope and topics has brought relevant research results. This proceeding consists of chapters covering deep learning, data management, software design, social networks, natural language processing, and data processing in various contexts like scholarly publishing, health and medicine, higher education, innovation and research, energy and transportation, and organizations.The 18 full papers and 2 short papers were carefully reviewed and selected from 56 submissions. The papers are grouped in thematic sessions as follows: Informational challenges for the study of Science, Technology and Society relationships; and Advances in Artificial Intelligence for data processing and analysis in online social environments.
Modern Enterprise Architecture
Enterprise Architecture (EA) frameworks such as TOGAF and Zachman are still valid, but enterprise architects also need to adapt to the new reality of agile, DevOps, and overall disruption through digital transformation. This book will help do just that. The Change to Modern Enterprise Architecture will teach you how to use known frameworks in the new world of digital transformation. Over the course of the book, you'll learn how modern EA is helping drive strategic business decisions, create continuous and agile ("floating") architecture for scalability, and how to address quality and speed in architecture using and integrating DevSecOps frameworks in EA. This book is divided into three parts: the first explains what modern enterprise architecture is and why it's important to any business. It covers the different EA frameworks and explains what they are. In the second part, you will learn how to integrate modern development frameworks into EA, and why this knowledge will enable you to deftly respond to various business challenges. The final section of the book is all about scaling the enterprise using modern enterprise architecture. You will also see how the role of the enterprise architect is changing and how to remain in control of your architecture. Upon completing this book, you'll understand why the enterprise architect is no longer just a role overseeing the architecture strategy of a business, but has become more of a leader in driving engineering excellence. What You'll Learn Integrate DevSecOps as artifact to modern EAUse Enterprise Architecture to scale up your businessUnderstand the changing role of the enterprise architectDefine a floating architecture to enhance business agility Who This Book Is For Enterprise architects, IT architects, lead engineers, business architects, business leaders, product managers.
Salesforce Data Architect Certification Guide
Learn data architecture essentials and prepare for the Salesforce Certified Data Architect exam with the help of tips and mock test questionsKey Features: Leverage data modelling, Salesforce database design, and techniques for effective data designLearn master data management, Salesforce data management, and how to include considerationsGet to grips with large data volumes, performance tuning, and poor performance mitigation techniquesBook Description: The Salesforce Data Architect is a prerequisite exam for the Application Architect half of the Salesforce Certified Technical Architect credential. This book offers complete, up-to-date coverage of the Salesforce Data Architect exam so you can take it with confidence.The book is written in a clear, succinct way with self-assessment and practice exam questions, covering all the topics necessary to help you pass the exam with ease. You'll understand the theory around Salesforce data modeling, database design, master data management (MDM), Salesforce data management (SDM), and data governance. Additionally, performance considerations associated with large data volumes will be covered. You'll also get to grips with data migration and understand the supporting theory needed to achieve Salesforce Data Architect certification.By the end of this Salesforce book, you'll have covered everything you need to know to pass the Salesforce Data Architect certification exam and have a handy, on-the-job desktop reference guide to re-visit the concepts.What You Will Learn: Understand the topics relevant to passing the Salesforce Data Architect examExplore specialist areas, such as large data volumesTest your knowledge with the help of exam-like questionsPick up useful tips and tricks that can be referred to time and againUnderstand the reasons underlying the way Salesforce data management worksDiscover the techniques that are available for loading massive amounts of dataWho this book is for: This book is for both aspiring Salesforce data architects and those already familiar with Salesforce data architecture who want to pass the exam and have a reference guide to revisit the material as part of their day-to-day job. Working knowledge of the Salesforce platform is assumed, alongside a clear understanding of Salesforce architectural concepts.
Guide to Discrete Mathematics
This stimulating textbook presents a broad and accessible guide to the fundamentals of discrete mathematics, highlighting how the techniques may be applied to various exciting areas in computing. The text is designed to motivate and inspire the reader, encouraging further study in this important skill. Features: This book provides an introduction to the building blocks of discrete mathematics, including sets, relations and functions; describes the basics of number theory, the techniques of induction and recursion, and the applications of mathematical sequences, series, permutations, and combinations; presents the essentials of algebra; explains the fundamentals of automata theory, matrices, graph theory, cryptography, coding theory, language theory, and the concepts of computability and decidability; reviews the history of logic, discussing propositional and predicate logic, as well as advanced topics such as the nature of theorem proving; examines the field of software engineering, including software reliability and dependability and describes formal methods; investigates probability and statistics and presents an overview of operations research and financial mathematics.
Doctoral Symposium on Information and Communication Technologies
This book constitutes the refereed proceedings of the Second Doctoral Symposium on Information and Communication Technologies, DSICT 2022, held in Manta, Ecuador, in October 2022. The 15 full papers were thoroughly reviewed and selected from the 72 submissions. The papers present research in areas of intelligent systems, artificial intelligence, ICTs and their applications to the real world.
Practical Machine Learning with Spark
Explore the cosmic secrets of Distributed Processing for Deep Learning applications. KEY FEATURES ●In-depth practical demonstration of ML/DL concepts using Distributed Framework.● Covers graphical illustrations and visual explanations for ML/DL pipelines. ● Includes live codebase for each of NLP, computer vision and machine learning applications. DESCRIPTION This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark. The book walks readers by setting up Hadoop and Spark installations on-premises, Docker, and AWS. Readers will learn about Spark MLib and how to utilize it in supervised and unsupervised machine learning scenarios. With the help of Spark, some of the most prominent technologies, such as natural language processing and computer vision, are evaluated and demonstrated in a realistic setting. Using the capabilities of Apache Spark, this book discusses the fundamental components that underlie each of these natural language processing, computer vision, and machine learning technologies, as well as how you can incorporate these technologies into your business processes. Towards the end of the book, readers will learn about several deep learning frameworks, such as TensorFlow and PyTorch. Readers will also learn to execute distributed processing of deep learning problems using the Spark programming language. WHAT YOU WILL LEARN● Learn how to get started with machine learning projects using Spark.● Witness how to use Spark MLib's design for machine learning and deep learning operations.● Use Spark in tasks involving NLP, unsupervised learning, and computer vision.● Experiment with Spark in a cloud environment and with AI pipeline workflows.● Run deep learning applications on a distributed network.WHO THIS BOOK IS FORThis book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide. It would be beneficial to have some familiarity with the fundamentals of Hadoop and Python.
Blockchain for International Security
This book intersects the distributed ledger technology (DLT) community with the international security community. Given the increasing application of blockchain technology in the fields of business and international development, there is a growing body of study on other use cases. For instance, can blockchain have a significant role in preserving and improving international security? This book explores this question in the context of preventing the proliferation of some of the most dangerous materials in the world-items that if not secured can lend to the development of weapons of mass destruction. It considers how blockchain can increase efficiencies in the global trade of nuclear and chemical materials and technology, thereby increasing assurances related to compliance with international nonproliferation and disarmament treaties.
Beyond Smart Cities
Cities are experiencing unprecedented times. In addition of managing the best possible post-pandemic recovery, Cities are at the beginning of the 4th industrial revolution, and all want to play a relevant role in it. To achieve this, they must retain and attract the necessary talent. There is a fierce competition where cities transform to become as attractive as possible. But what makes a city attractive (from emotional and rational sides) to talented citizens? For mayors and city directors: how can I prepare my city for this goal? What kind of transformations in the medium-long term should I develop? And in the short term, what processes and technologies (SmartCity) should I put in place? And from the point of view of citizens: how do I choose the best city to develop my full potential? Which one offers me the best citizenship contract? Where am I going to enjoy the best services with the highest quality of life and lower taxes/cost of life? In addition, the city must be attractive, with a strong identity and dynamism and promising future. Can I find the cities that best suit my aesthetic and emotional preferences, and that also offer me the services that I consider a priority at the lowest cost to my pocket? Find all the answers in this book.
SAP S/4HANA Central Finance and Group Reporting
Put together a centralised repository for all financial information and alter it as you see fit KEY FEATURES ● Expert-led approach to implementing S/4 Central Finance in a wide range of companies.● Solution-focused responses on Central Finance, Group reporting, BPC, and Fiori.● Preparation guide for the certification exam and SAP S/4HANA Interview. DESCRIPTION Your SAP S/4HANA journey has just begun. This book details several processes, methods, and expert strategies for integrating central finance into your IT systems, streamlining finance operations, data reporting, and master data preparation. With the help of this book, you'll learn all you need to know to get the most out of SAP S/4HANA Central Finance, SAP Group Reporting, BPC, Fiori, and other cutting-edge technologies. This book includes numerous examples to demonstrate the essentials of SAP S/4HANA Central Finance, SAP Group reporting, BPC, and Fiori. It offers extensive hands-on practice utilizing SAP S/4HANA standards to demonstrate Fiori, BPC, SAP S/4HANA Central Finance, and Group reporting. The book contains many applications and projects from throughout the industry spectrum. Interviewing for a job and passing the SAP Certification exam can be made easier with the help of this book! After reading this book you will be able to perform SAP S/4HANA Central Finance and SAP Group reporting operations. You can also define complex activities in SAP S/4HANA. WHAT YOU WILL LEARN● Conduct the implementation of Central Finance in your IT environment.● Consolidate your SAP S/4HANA system's finances.● Carry out currency conversion, intercompany elimination, financial closure, and reporting.● Perform a BPC Evaluation● Carry out SAP S/4HANA Central Finance and Group reporting functions.● Utilize Fiori applications to perform SAP S/4HANA operations.WHO THIS BOOK IS FORThis book is a must for SAP consultants, architects, and project managers who wish to become proficient in the SAP S/4HANA project life cycle phases.
The Practice of Enterprise Modeling
This book constitutes the proceedings of the 15th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2022, which took place in London, UK, during November 23-25, 2022. PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is Enterprise Modeling and Model-based Development and Engineering. The 15 full papers presented in this volume were carefully reviewed and selected from a total of 45 submissions. They were organized in topical sections as follows: models in information system development; modeling enterprise architectures; modeling capabilities and ecosystems; DSML and meta-modeling; and participatory modeling.
Intelligent Data Engineering and Automated Learning - Ideal 2022
From Digital Societies to Liberal Education
This book constitutes the refereed proceedings of the 24th International Conference on Asia-Pacific Digital Libraries, ICADL 2022, which was held in November/December 2022. The 14 full, 18 short, and 12 poster papers presented in this volume were carefully reviewed and selected from 78 submissions. Based on significant contributions, the full and short papers have been classified into the following topics: intelligent document analysis; neural-based knowledge extraction; knowledge discovery for enhancing collaboration; smart search and annotation; cultural data collection and analysis; scholarly data processing; data archive and management; research activities and digital library; and trends in digital library.
The Kaggle Book
Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist.Purchase of the print or Kindle book includes a free eBook in the PDF format.Key Features: Learn how Kaggle works and how to make the most of competitions from over 30 expert KagglersSharpen your modeling skills with ensembling, feature engineering, adversarial validation and AutoMLA concise collection of smart data handling techniques for modeling and parameter tuningBook Description: Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career.The first book of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won't easily find elsewhere, and the knowledge they've accumulated along the way. As well as Kaggle-specific tips, you'll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You'll design better validation schemes and work more comfortably with different evaluation metrics.Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this book is for you.Plus, join our Discord Community to learn along with more than 1,000 members and meet like-minded people!What You Will Learn: Get acquainted with Kaggle as a competition platformMake the most of Kaggle Notebooks, Datasets, and Discussion forumsCreate a portfolio of projects and ideas to get further in your careerDesign k-fold and probabilistic validation schemesGet to grips with common and never-before-seen evaluation metricsUnderstand binary and multi-class classification and object detectionApproach NLP and time series tasks more effectivelyHandle simulation and optimization competitions on KaggleWho this book is for: This book is suitable for anyone new to Kaggle, veteran users, and anyone in between. Data analysts/scientists who are trying to do better in Kaggle competitions and secure jobs with tech giants will find this book useful.A basic understanding of machine learning concepts will help you make the most of this book.
External Labeling
This book focusses on techniques for automating the procedure of creating external labelings, also known as callout labelings. In this labeling type, the features within an illustration are connected by thin leader lines (called leaders) with their labels, which are placed in the empty space surrounding the image. In general, textual labels describing graphical features in maps, technical illustrations (such as assembly instructions or cutaway illustrations), or anatomy drawings are an important aspect of visualization that convey information on the objects of the visualization and help the reader understand what is being displayed. Most labeling techniques can be classified into two main categories depending on the "distance" of the labels to their associated features. Internal labels are placed inside or in the direct neighborhood of features, while external labels, which form the topic of this book, are placed in the margins outside the illustration, where they do not occlude the illustration itself. Both approaches form well-studied topics in diverse areas of computer science with several important milestones. The goal of this book is twofold. The first is to serve as an entry point for the interested reader who wants to get familiar with the basic concepts of external labeling, as it introduces a unified and extensible taxonomy of labeling models suitable for a wide range of applications. The second is to serve as a point of reference for more experienced people in the field, as it brings forth a comprehensive overview of a wide range of approaches to produce external labelings that are efficient either in terms of different algorithmic optimization criteria or in terms of their usability in specific application domains. The book mostly concentrates on algorithmic aspects of external labeling, but it also presents various visual aspects that affect the aesthetic quality and usability of external labeling.
Machine Translation
This book constitutes the refereed proceedings of the 18th China Conference onMachine Translation, CCMT 2022, held in Lhasa, China, during August 6-10, 2022.The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions.
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications
This book constitutes the refereed proceedings of the 9th International Conference on Future Data and Security Engineering, FDSE 2022, held in Ho Chi Minh City, Vietnam, during November 23-25, 2022. The 41 full papers(including 4 invited keynotes) and 12 short papers included in this book were carefully reviewed and selected from 170 submissions. They were organized in topical sections as follows: ​invited keynotes; big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and security and data engineering.
Applied Cryptography in Computer and Communications
This book constitutes the refereed post-conference proceedings of the Second International Conference on Applied Cryptography in Computer and Communications, AC3 2022, held May 14-15, 2022 and due to COVID-19 pandemic virtually.The 12 revised full papers and 2 short papers were carefully reviewed and selected from 38 submissions. They were organized in topical sections as follows: quantum-safe cryptographic solution; applied cryptography for IoT; authentication protocol; real-world applied cryptography; network attack and defense; security application.
Data Science in Context
Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.
